Publication2025
HSA-CNN: A Hybrid Spectral-Attention Multi-Agent Framework for Explainable Cloud Detection in Multispectral Remote Sensing Imagery
The record
- Type
- Publication
- Date
- 30 July 2025
- Level
- National
- Journal
- Journal of Applied Science and Technology Trends
- Volume
- 6
- Issue
- Special Issue
- Pages
- 201-221
- Published
- 30 July 2025
- DOI
- 10.38094/jastt605741
- Scopus ID
- 105033241293
- ISSN
- 27080757
- Authors
- 4
- Open access
- Yes
- Citations
- 1
- International co-authorship
- No
- Co-author countries
- IN
Classification
Every label below carries the reasoning it was assigned on, the confidence band it was assigned in, and what produced it. The rubric is published.
UN Sustainable Development Goals
13.3 Improve education, awareness-raising and institutional capacity on climate change mitigation, adaptation and early warning
Develops explainable artificial intelligence framework using deep learning agents for pixel-wise cloud detection in multispectral satellite imagery.
- High confidence
- The subject matter is a strong and direct inference from the record type, the funding or organising body, or the programme context, even where the title alone is thin. Example: an ICMR-funded project against SDG 3, on the strength of the agency.
- Judged
- Judged against the published classification rubric, under the rubric and prompt versions recorded with the run that produced it.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
9.5 Enhance scientific research, upgrade technological capabilities, and increase researchers and R&D spending
Advances AI research capacity through transformer-based spectral attention and multi-agent systems for environmental monitoring and climate analysis.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-2.5 Green economy, energy transition and climate resilience
Climate adaptation technology through advanced AI-driven atmospheric correction and environmental monitoring for climate change analysis.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
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Provenance
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- Source rows resolved into this record
- 1
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Citing this record
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KIIT Deemed to be University. “HSA-CNN: A Hybrid Spectral-Attention Multi-Agent Framework for Explainable Cloud Detection in Multispectral Remote Sensing Imagery”. Kortex.